We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
Energies of curves and surfaces together with their discrete variants play a prominent role as fairness functionals in geometric modeling and computer aided geometric design. This ...
Within industrial contexts, a common view of the level of confidence needed in CAD data transfer processes may be expressed as “1 don’t mind if the [CAD data- tmnsfer] algorit...
Thomas J. Peters, Neil F. Stewart, David R. Fergus...
In this research, we propose to use the discrete cosine transform to approximate the cumulative distributions of data cube cells' values. The cosine transform is known to have...
Orion is a state-of-the-art uncertain database management system that extends the relational model to include probabilistic uncertain data as first call data types. This demonstra...
Sarvjeet Singh, Chris Mayfield, Sagar Mittal, Suni...